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Google Inc.
- California
- https://sdasgup3.github.io/
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Backward compatible ML compute opset inspired by HLO/MHLO
A modern model graph visualizer and debugger
Supporting PyTorch models with the Google AI Edge TFLite runtime.
The missing pieces (as far as boilerplate reduction goes) of the upstream MLIR python bindings.
A technical report on convolution arithmetic in the context of deep learning
The fundamental package for scientific computing with Python.
Use this to build intuition for the IEEE floating-point format
sdasgup3 / stablehlo
Forked from openxla/stablehloBackward compatible ML compute opset inspired by HLO/MHLO
Stores documents and resources used by the OpenXLA developer community
A retargetable MLIR-based machine learning compiler and runtime toolkit.
Reinforcement learning environments for compiler and program optimization tasks
A curated list of awesome LLVM (including Clang, etc) related resources.
Front end side of quick-bench
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
.NET Tool for parsing and utilizing x86 semantics defined in K. It currently features a WIP symbolic expression generator for VTIL.
An implementation of examples from "Head First Design Patterns", written in C++.
Research prototype tool for modular formal verification of C and Java programs
Experiments in using VeriFast verification tool
A unit test-like interface for fuzzing and symbolic execution